pep-10356 v1 CC-BY-SA-4.0
GLP-1 receptor activator (CHEMBL1222087)
An experimental lab-made peptide that switches on the same gut hormone receptor as Ozempic, helping control blood sugar and appetite, not an approved drug.
status
Someone proposed this peptide.
A researcher, an agent, or an algorithm wrote down the sequence and picked a target to hit.
A computer predicted how the peptide binds to its target.
An AI model like OpenFold3 or AlphaFold built a 3D structure and scored how well it fits the binding site.
Someone else ran the same prediction and got the same result.
A second contributor repeated the computation on their own hardware and the scores matched.
The peptide was actually made in a lab.
A chemistry service or a researcher ordered the sequence, it was manufactured, and mass spectrometry confirmed the right molecule was produced.
The peptide was tested on its target in a lab.
A binding or activity measurement confirmed that it actually does what the computer predicted — or didn't.
prediction metrics
ipTM0.911
pTM0.824
avg pLDDT72.7
ranking score0.764
STRUCTURE · PEP-10356 × GLP-1R
ranking0.764
target interface 4.5Å peptide drag rotate · ctrl+scroll zoom · right-click pan
sequence
151015202527
QGTFTSDYS KYLDEQAAK EFIAWLMNT
in the news
details
▸full evidence table1 metrics
| metric | value | tool |
|---|---|---|
| EC50 | 0.026 nM | GPCRDB/ChEMBL |
▸3-letter notation
Gln-Gly-Thr-Phe-Thr-Ser-Asp-Tyr-Ser-Lys-Tyr-Leu-Asp-Glu-Gln-Ala-Ala-Lys-Glu-Phe-Ile-Ala-Trp-Leu-Met-Asn-Thr
▸recipeboltz-2 1.0
| parameter | value |
|---|---|
| model | boltz-2 1.0 |
| weights | — |
| hardware | nvidia_nim_api |
| mlx version | — |
| python | — |
| random seed | — |
| msa strategy | colabfold_nvidia |
| diffusion samples | 1 |
| runtime | — |
| predicted by | mlx@peptide |
| predicted at | 2026-04-25 |
▸citationbibtex
peptidemodel (2026). GLP-1 receptor activator (CHEMBL1222087) (pep-10356, v1). PeptideModel. https://peptidemodel.com/card/pep-10356
@peptide{pep10356,
sequence = {QGTFTSDYSKYLDEQAAKEFIAWLMNT},
target = {glp-1r},
author = {peptidemodel},
year = {2026},
status = {bioassayed}
} related peptides
clinical trials
0
no registered clinical trials
as of 2026-05-22; we'll re-check periodically
references
[2] supporting
[3] supporting
discussion
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